Update README.md

README.md

@@ -26,9 +26,7 @@ Two versions of pretrained W2V2 models are available:
 - **LB1100/checkpoint_best.pt** pretrained using 1100-hour of LB home recordings collected from 110 families of children under 5-year-old
 - **LL4300/checkpoint_best.pt** pretrained using 1100-hour of LB home recordings collected from 110 families + 3200-hour of LENA home recordings from 275 families of children under 5-year-old
 
-## Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
+## Model Sources
 For more information regarding this model, please checkout our paper
 - **Paper [optional]:** [More Information Needed]
 
@@ -41,9 +39,8 @@ We develop fine-tuning recipe using SpeechBrain toolkit available at
 ## Quick Start [optional]
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-If you wish to use fairseq framework, the following code snippet can be used to load the pretrained model
+If you wish to use fairseq framework, the following code snippet can be used to load our pretrained model
 
-[More Information Needed]
 
 # Evaluation
 
@@ -56,7 +53,7 @@ We test 4 unlabeled datasets on unsupervised pretrained W2V2-base models:
 We then fine-tune pretrained models on 11.7h of LB labeled home recordings, the f1 scores across three tasks are
 
 ![results](results.png)
-For more details, please refer to our paper.
+For more details of experiments and results, please refer to our paper.
 
 # Citation